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LCARS TOP SCORE by LeroyDyer

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LCARS TOP SCORE Benchmarks

MMLU Pro: 22.57
GPQA: 4.81
MUSR: 12.43
BBH: 31.7
IFEval: 43.71 vs 88 (so35)-50.3%
MATH Lvl 5: 6.34
LLME Score: 0.2744
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

LCARS TOP SCORE Parameters and Internals

LLM NameLCARS TOP SCORE
Repository 🤗https://huggingface.co/LeroyDyer/LCARS_TOP_SCORE 
Base Model(s)  T3Q Mistral Orca Math DPO   Experiment26 7B   M7 7B   LeroyDyer/Mixtral_AI_Cyber_3.1_SFT   chihoonlee10/T3Q-Mistral-Orca-Math-DPO   yam-peleg/Experiment26-7B   liminerity/M7-7b   LeroyDyer/Mixtral_AI_Cyber_3.1_SFT
Model Size7.2b
Required VRAM14.5 GB
Updated2024-10-18
MaintainerLeroyDyer
Model Typemistral
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   2.0 GB: 6-of-8   1.9 GB: 7-of-8   0.9 GB: 8-of-8
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseopenrail
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
LCARS TOP SCORE (LeroyDyer/LCARS_TOP_SCORE)

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Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/LCARS_TOP_SCORE.

Rank the LCARS TOP SCORE Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v2024072803
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